Collection of dataset use to create the fine-tuning arena
AI & ML interests
Braindecode is an open-source Python toolbox for decoding raw electrophysiological brain data with deep learning models. It includes dataset fetchers, data preprocessing and visualization tools, as well as implementations of several deep learning architectures and data augmentations for analysis of EEG, ECoG and MEG.
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models 13
braindecode/labram-pretrained
Updated • 9.05k
braindecode/cbramod-pretrained
Updated • 2.29k
braindecode/eegpt-pretrained
Updated • 538
braindecode/SignalJEPA-PreLocal-pretrained
Updated • 3.19k
braindecode/SignalJEPA-PostLocal-pretrained
Updated • 3.2k • 1
braindecode/SignalJEPA-Contextual-pretrained
Updated • 3.2k
braindecode/SignalJEPA-pretrained
Updated • 2.39k
braindecode/biot-pretrained-six-datasets-18chs
Updated • 3.14k
braindecode/biot-pretrained-shhs-prest-18chs
Updated • 2.42k
braindecode/biot-pretrained-prest-16chs
Updated • 3.44k
datasets 12
braindecode/example_dataset-raw
Updated • 77
braindecode/example_dataset-eegwindows
Preview • Updated • 55
braindecode/example_dataset-windows
Preview • Updated • 111
braindecode/chbmit
Updated • 11
braindecode/isruc-sleep
Updated • 33
braindecode/faced
Updated • 11
braindecode/physionet
Updated • 9
braindecode/mdd_mumtaz2016
Updated • 8
braindecode/arithmetic_zyma2019
Updated • 9
braindecode/bcic2020-3
Updated • 655